Add frame generation.

This commit is contained in:
laurent
2025-04-03 13:41:16 +02:00
parent d72c44705c
commit 3fb67e0c2c
2 changed files with 61 additions and 5 deletions

View File

@ -7,6 +7,7 @@
/// audio codes from text and audio inputs. The model architecture employs a Llama backbone and a
/// smaller audio decoder that produces Mimi audio codes.
///
use crate::generation::LogitsProcessor;
use crate::models::encodec;
use candle::{DType, Device, IndexOp, Module, Result, Tensor, D};
use candle_nn::{embedding, linear_b, Embedding, Linear, RmsNorm, VarBuilder};
@ -363,6 +364,7 @@ pub struct Model {
text_embeddings: Embedding,
projection: Linear,
audio_head: Tensor,
config: Config,
}
impl Model {
@ -403,6 +405,42 @@ impl Model {
text_embeddings,
projection,
audio_head,
config: cfg.clone(),
})
}
pub fn clear_kv_cache(&mut self) {
self.backbone.clear_kv_cache();
self.decoder.clear_kv_cache();
}
pub fn generate_frame(
&mut self,
tokens: &Tensor,
tokens_mask: &Tensor,
input_pos: usize,
lp: &mut LogitsProcessor,
) -> Result<Vec<u32>> {
let h = tokens.clone(); // TODO
let h = self.backbone.forward(&h, input_pos)?;
let c0_logits = h.apply(&self.codebook0_head)?;
let c0_sample = lp.sample(&c0_logits)?;
let mut all_samples = vec![c0_sample];
let c0_sample = Tensor::from_slice(&[c0_sample], (1, 1), &self.decoder.device)?;
let c0_embed = self.audio_embeddings.forward(&c0_sample)?;
let mut curr_h = Tensor::cat(&[h, c0_embed], 1)?;
self.decoder.clear_kv_cache();
for i in 0..(self.config.audio_num_codebooks - 1) {
let proj_h = curr_h.apply(&self.projection)?;
let decoder_h = self.decoder.forward(&proj_h, i)?;
let ci_logits = decoder_h.matmul(&self.audio_head.get(i)?)?;
let ci_sample = lp.sample(&ci_logits)?;
all_samples.push(ci_sample);
let ci_sample = Tensor::from_slice(&[ci_sample], (1, 1), &self.decoder.device)?;
let ci_embed = self.audio_embeddings.forward(&ci_sample)?;
curr_h = ci_embed
}
Ok(all_samples)
}
}